95 search results - page 12 / 19 » Ensembles of Kernel Predictors |
117
Voted
TNN
2010
14 years 6 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
105
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CIARP
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Diversity is a key characteristic to obtain advantages of combining predictors. In this paper, we propose a modification of bagging to explicitly trade off diversity and ...
85
Voted
NLE
2008
14 years 11 months ago
2008
For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
HASE
2007
IEEE
15 years 6 months ago
2007
IEEE
—Modeling to predict faultproneness of software modules is an important area of research in software engineering. Most such models employ a large number ...
120
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TR
2010
14 years 6 months ago
2010
This paper investigates the use of a one-class support vector machine algorithm to detect the onset of system anomalies, and trend output classification probabilities, as a way to ...